code: def filter_pairs(
      src_edges,
      tgt_edges,
      input_src,
      input_tgt,
      filtered_dir_src,
      filtered_dir_tgt,
      removed_dir_src,
      removed_dir_tgt,
      min_length,
      max_length,
      length_ratio,
      rank,
  ):
      global counter
      output_src = filtered_dir_src / Path(f"rank{rank}")
      output_src_removed = removed_dir_src / Path(f"rank{rank}")
      output_tgt = filtered_dir_tgt / Path(f"rank{rank}")
      output_tgt_removed = removed_dir_tgt / Path(f"rank{rank}")
      with open(input_src) as in_src, open(input_tgt) as in_tgt, open(
          output_src, "w"
      ) as out_src, open(output_tgt, "w") as out_tgt, open(
          output_src_removed, "w"
      ) as out_r_src, open(
          output_tgt_removed, "w"
      ) as out_r_tgt:
          in_src.seek(src_edges[0])
          in_tgt.seek(tgt_edges[0])
          src_l, tgt_l, i = in_src.readline(), in_tgt.readline(), 0
          if (
              in_src.tell() > src_edges[1]
              or in_tgt.tell() > tgt_edges[1]
          ):
              return
          while src_l and tgt_l:
              with counter.get_lock():
                  counter.value += 1
              src_l = src_l.strip()
              tgt_l = tgt_l.strip()
              src_l_len = len(src_l.split())
              tgt_l_len = len(tgt_l.split())
              # Length filtering
              if (src_l_len < min_length or src_l_len > max_length) or (
                  tgt_l_len < min_length or tgt_l_len > max_length
              ):
                  out_r_src.write(src_l + "\n")
                  out_r_tgt.write(tgt_l + "\n")
              # Ratio filtering
              elif (
                  src_l_len / tgt_l_len > length_ratio
                  or tgt_l_len / src_l_len > length_ratio
              ):
                  out_r_src.write(src_l + "\n")
                  out_r_tgt.write(tgt_l + "\n")
              else:
                  out_src.write(src_l + "\n")
                  out_tgt.write(tgt_l + "\n")
              if in_src.tell() >= src_edges[1]:
                  if in_tgt.tell() < tgt_edges[1]:
                      raise ValueError(
                          f"Edges of target and source has to be reached simultaneously, whereas "
                          f"in_src.tell()={in_src.tell()}, in_tgt.tell()={in_tgt.tell()}, "
                          f"src_edges[1]={src_edges[1]}, tgt_edges[1]={tgt_edges[1]}."
                      )
                  break
              if in_tgt.tell() >= tgt_edges[1]:
                  raise ValueError(
                      f"Edges of target and source has to be reached simultaneously, whereas "
                      f"in_src.tell()={in_src.tell()}, in_tgt.tell()={in_tgt.tell()}, "
                      f"src_edges[1]={src_edges[1]}, tgt_edges[1]={tgt_edges[1]}."
                  )
              src_l, tgt_l, i = (
                  in_src.readline(),
                  in_tgt.readline(),
                  i + 1,
              )
          with counter.get_lock():
              counter.value += 1
  
file_path: NeMo/scripts/neural_machine_translation/length_ratio_filter.py
imports: import argparse
  import logging
  import multiprocessing
  import re
  import shutil
  import warnings
  from pathlib import Path
  from time import sleep
  from tqdm import tqdm
label_desc: Use image node_id 4 for calling a global function with example usage: filter_pairs(src_edges, tgt_edges, input_src, input_tgt, filtered_dir_src, filtered_dir_tgt, removed_dir_src, removed_dir_tgt, min_length, max_length, length_ratio, rank) without return types